What is Segmentation Data? Examples, Datasets and Providers
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What Is Segmentation Data?
Segmentation data refers to categorized consumer or business data used to divide audiences into specific groups based on shared characteristics. It helps businesses personalize marketing efforts, improve targeting strategies, and enhance customer engagement. Companies can deliver relevant content, optimize advertising, and increase conversion rates by using this type of data.
What Are Examples of Segmentation Data?
Segmentation data includes various data points that allow businesses to group their audience effectively. Key examples include:
- Demographic Data – Age, gender, income, education level, and occupation.
- Geographic Data – Location, climate, population density, and regional preferences.
- Behavioral Data – Purchase history, online activity, engagement patterns, and brand interactions.
- Psychographic Data – Interests, values, personality traits, and lifestyle preferences.
- Firmographic Data – Company size, industry, revenue, and employee count (for B2B segmentation).
- Technographic Data – Software usage, device preferences, and digital behavior.
- Transactional Data – Purchase frequency, average order value, and payment methods.
Best Segmentation Databases & Datasets
Here is our curated selection of top Segmentation Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Echo Analytics | GeoPersona Brand Segments | US | Segmentation Data | Available Globally | GDPR-Compliant
BIGDBM US Consumer Audience Segmentation Data
LinkedIn Data | Professional Network Data | 50+ Industry Segmentation | Global Coverage | 121M+ Professionals | Verified Email, Phone | 20+ Attributes
Digital Audience Data | Advanced Audience Segmentation Platform for Digital Marketers.
Segmentation Data| North America | Detailed Insights on Consumer Attitudes and Behaviours | Consumer Behaviour Data | Consumer Sentiment Data
Accurate Append | Verified US Segmentation Data | Demographics/Wealth/Donation History Targeting & More | High Match Rate | Batch & API Delivery
Consumer Data | Global Population Data | Audience Targeting Data | Segmentation data
QuoteWay Canada | Telemarketing Data | 1.3M Complete Profiles with Consumer Marketing Data, Interest Data | Perfect for Audience Segmentation
Dataplex: Reddit Data | Consumer Behavior Data | 2.1M+ subreddits: trends, audience insights + more | Ideal for Interest-Based Segmentation
Digital Audience Data Segments B2C - Increase your match by 3X - Programmatic Audience
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Top Segmentation Data Providers & Companies
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Versium
CoverageUSAVUsing Versium REACH has allowed us to easily and cost-effectively activate our CRM and ICP data. Versium REACH allows us to activate our data over our preferred media channels giving us the ability to compound frequency with our audiences.
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Success.ai
CoverageUSAUnited Kingdom+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
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Accurate Append
CoverageUSAVWe had a need to append an address to incomplete records, across several geographies, where enough data points exist to have a reliable match. The custom product we use offers a high match rate for the records.
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Echo Analytics
CoverageUSAUnited Kingdom+47VThe recent webinar by Echo on their data collection process was excellent, very well explained and lucid. I understood how complex the process is to clean the data. Their product is a really interesting one.
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Specialists Marketing Services, Inc.
CoverageUSABy leveraging our years of data experience, adhering to best practices and providing the most accurate data sets available, we aim to build a...DeterministicAddressableVerified -
GapMaps
CoverageUSACanada+153VWe use GapMaps’ data offering extensively to identify and approve locations for Anytime Fitness sites across Southeast Asia. This data helps Inspire Brands Asia make informed decisions, ensuring that each new gym location meets our strategic criteria and has the potential for success. The insights from GapMaps enable us to understand market demographics, competition, and accessibility, which are crucial for our expansion plans.
Popular Use Cases for Segmentation Data
Segmentation data is widely used across industries to refine marketing and business strategies. Common use cases include:
- Advertising – Delivering personalized ads to different audience segments.
- Account-Based Marketing (ABM) – Targeting high-value B2B accounts with tailored messaging.
- Customer Insights – Understanding consumer preferences and behaviors for better engagement.
- Product Positioning – Aligning products and services with the right market segments.
- Personalized Email Marketing – Sending customized content based on user interests.
- Sales Optimization – Prioritizing leads based on segmentation insights.
- Loyalty Program Development – Designing rewards for different customer groups.
- Market Expansion Strategy – Identifying new geographic or demographic opportunities.
Main Attributes of Segmentation Data
Segmentation data includes various attributes that help businesses define audience groups more precisely. The more attributes included in a segmentation dataset, the better businesses can customize their messaging, product offerings, and engagement strategies. Key attributes include:
- Personal Information – Name, age, gender, marital status, and income level.
- Location Data – Country, city, ZIP code, and geographic region.
- Behavioral Insights – Purchase history, product preferences, and browsing habits.
- Engagement Metrics – Email open rates, website visits, and social media interactions.
- Device & Technographic Data – Mobile vs. desktop usage, app preferences, and software adoption.
- Firmographic Data (B2B) – Industry, company size, revenue, and job roles.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The first name of a contact. | View 186 datasets | |
| String | The last name (surname) of a contact. | View 185 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 165 datasets | |
| String | The industry classification of a company. | View 140 datasets | |
| String | The approx. number of employees working for a company. | View 131 datasets | |
| String | The name of a country. | View 130 datasets |
How Is Segmentation Data Collected?
Segmentation data is gathered from multiple sources, including:
Customer Relationship Management (CRM) systems
Website analytics and tracking tools
Social media engagement metrics
E-commerce purchase data
Surveys, feedback forms, and market research
Third-party data providers and consumer databases
Mobile app usage and geolocation insights
What Are the Four Types of Segmentation?
Segmentation is typically divided into four main types:
Demographic Segmentation – Categorizing audiences based on personal attributes like age, gender, and income.
Geographic Segmentation – Dividing markets based on location, such as cities, regions, or countries.
Behavioral Segmentation – Grouping consumers based on their interactions, habits, and purchasing behaviors.
Psychographic Segmentation – Segmenting audiences by lifestyle, values, attitudes, and interests.
Segmentation vs. Targeting
While segmentation involves dividing a broad audience into smaller groups, targeting focuses on selecting the most valuable segments for marketing efforts. Segmentation provides the foundation, while targeting refines the strategy to reach the right consumers with personalized content.
## What Is Segmentation Data in Marketing?
Segmentation data in marketing helps businesses create targeted campaigns by dividing consumers into meaningful groups. It enables brands to tailor messaging, offers, and content to match the preferences of each segment, improving engagement and return on investment (ROI).
Marketing Automation and Segmentation Tools
Marketing automation platforms use segmentation data to streamline personalized campaigns. These tools enable businesses to:
- Automate email sequences based on user behavior.
- Deliver dynamic content tailored to different audience segments.
- Track customer journeys and adjust messaging accordingly.
- Optimize ad targeting for improved conversion rates.
Several marketing automation platforms use segmentation data to personalize and optimize customer interactions. Some popular tools include:
- HubSpot – Offers advanced segmentation for email marketing, CRM automation, and dynamic content personalization.
- Marketo Engage (by Adobe) – Provides AI-powered segmentation for lead nurturing, customer engagement, and targeted campaigns.
- Salesforce Marketing Cloud – Enables segmentation-based automation for multi-channel marketing and predictive analytics.
- Klaviyo – Specializes in ecommerce segmentation, allowing businesses to send personalized emails and SMS campaigns.
- Mailchimp – Features audience segmentation for tailored email marketing and behavioral automation.
- ActiveCampaign – Combines segmentation with automation for email sequences, CRM, and personalized customer journeys.
- Pardot (by Salesforce) – Focuses on B2B segmentation with lead scoring, nurturing, and targeted messaging.
- Drip – Designed for ecommerce brands to segment shoppers based on purchase behavior and engagement.
- Braze – Provides real-time segmentation for mobile, email, and in-app marketing automation.
- Segment (by Twilio) – Collects and unifies segmentation data across multiple channels to enhance customer analytics and personalization.
Frequently Asked Questions
Where Can I Buy Segmentation Data?
You can explore our data marketplace to find a variety of Segmentation Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Segmentation Data Maintained?
The quality of Segmentation Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Segmentation Data Updated?
The update frequency for Segmentation Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Segmentation Data Secure?
The security of Segmentation Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Segmentation Data Delivered?
Segmentation Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Segmentation Data.
How Much Does Segmentation Data Cost?
The cost of Segmentation Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Segmentation Data for your needs.
What Are Similar Data Types to Segmentation Data?
Segmentation Data is similar to other data types, such as Third-Party Audience Data, Audience Targeting Data, Digital Audience Data, Gaming Audience Data, and User Profiles Data. These related categories are often used together for applications like Advertising and Account-Based Marketing (ABM).
